Educational Programme on Knowledge, Attitudes, and Practice of Oral Care/Hygiene Provision by Healthcare Providers to Older Residents in Long-Term Care Institutions: A Case-Control Study

BACKGROUND

Much attention has been paid to advocate proper oral care/hygiene provision by healthcare providers in long-term care institutions (LTCIs). This study aimed to evaluate the effects of an oral health education (OHE) programme (intervention) on knowledge, attitudes, and practice (KAP) of healthcare providers in providing oral care/hygiene to older residents in LTCIs.

METHODS

A case control study was conducted at two LTCIs, with one assigned as the intervention group and the other as the control group. A KAP survey was administered before and after the intervention, and oral status was assessed by standardized clinical photographs taken before and after oral hygiene provision on three older residents.

RESULTS

A total of 40 healthcare providers (20 in intervention and 20 in control groups) participated, with the attitudes and overall KAP significantly improved in the intervention group after the OHE programme. Interestingly, the knowledge of those in the control LTCI was significantly declined at re-evaluation (mean scores were from 17.25 to 14.30), indicating inadequate oral health and care training despite having more experience in taking care of older people. Significant differences in practice were observed between the two groups after the OHE programme (p = 0.006). The three older residents exhibited poor oral health and multiple oral problems.

CONCLUSIONS

This study revealed that the OHE programme effectively improved attitudes of the healthcare providers and provided a sustaining effect on attitude towards oral health and oral care. However, there were still inadequacies in oral hygiene provision by some healthcare providers, possibly due to unattended oral diseases and hygiene needs, as well as personal and environmental barriers that merit further investigation. Regular evaluation and enforcement of oral care/hygiene provision in LTCIs are necessary to maintain oral health and prevent dental and gum diseases in older residents. Immediate referral for dental treatment is recommended for older people with signs of dental/oral disease(s).

Effect of exercise interventions on brain-derived neurotrophic factor expression in people with overweight and obesity: protocol for a systematic review and meta-analysis

INTRODUCTION

Epidemic obesity ('globobesity') has led to a considerable rise in the prevalence and incidence of many disabling conditions, including cognitive dysfunction. Recent evidence has suggested that habitual exercise can alleviate the deleterious effects of obesity on cognitive functioning across the lifespan. Given that there is a potential link among obesity, exercise, cognitive health and brain-derived neurotrophic factor (BDNF), this systematic review aims to critically appraise interventional trials on exercise and BDNF and to estimate the pooled effect of exercise training on BDNF levels among healthy individuals with overweight and obesity.

METHODS AND ANALYSIS

Six electronic databases-PubMed, MEDLINE, EMBASE, Web of Science, Ovid Nursing Database and SPORTDiscus-will be searched from their inception through December 2022. Only interventional studies, including randomised controlled trials and quasi-experimental studies, with full text available and reported in English will be included. The primary outcomes will be changes in BDNF levels among healthy subjects with overweight and obesity following either acute or chronic bouts of exercise interventions. Two reviewers will independently conduct data extraction and risk of bias assessment for included trials using the Physiotherapy Evidence Database Scale. We will produce a narrative synthesis, with findings categorised by sex, age groups and types of exercise training. Data will be extracted and pooled for meta-analyses using random-effects models.

ETHICS AND DISSEMINATION

No formal ethical approval is required for this systematic review. The findings of this review will be disseminated through peer-reviewed publications.

PROSPERO REGISTRATION NUMBER

CRD42023414868.

AI Deployment on GBM Diagnosis: A Novel Approach to Analyze Histopathological Images Using Image Feature-Based Analysis

BACKGROUND

Glioblastoma (GBM) is one of the most common malignant primary brain tumors, which accounts for 60-70% of all gliomas. Conventional diagnosis and the decision of post-operation treatment plan for glioblastoma is mainly based on the feature-based qualitative analysis of hematoxylin and eosin-stained (H&E) histopathological slides by both an experienced medical technologist and a pathologist. The recent development of digital whole slide scanners makes AI-based histopathological image analysis feasible and helps to diagnose cancer by accurately counting cell types and/or quantitative analysis. However, the technology available for digital slide image analysis is still very limited. This study aimed to build an image feature-based computer model using histopathology whole slide images to differentiate patients with glioblastoma (GBM) from healthy control (HC).

METHOD

Two independent cohorts of patients were used. The first cohort was composed of 262 GBM patients of the Cancer Genome Atlas Glioblastoma Multiform Collection (TCGA-GBM) dataset from the cancer imaging archive (TCIA) database. The second cohort was composed of 60 GBM patients collected from a local hospital. Also, a group of 60 participants with no known brain disease were collected. All the H&E slides were collected. Thirty-three image features (22 GLCM and 11 GLRLM) were retrieved from the tumor volume delineated by medical technologist on H&E slides. Five machine-learning algorithms including decision-tree (DT), extreme-boost (EB), support vector machine (SVM), random forest (RF), and linear model (LM) were used to build five models using the image features extracted from the first cohort of patients. Models built were deployed using the selected key image features for GBM diagnosis from the second cohort (local patients) as model testing, to identify and verify key image features for GBM diagnosis.

RESULTS

All five machine learning algorithms demonstrated excellent performance in GBM diagnosis and achieved an overall accuracy of 100% in the training and validation stage. A total of 12 GLCM and 3 GLRLM image features were identified and they showed a significant difference between the normal and the GBM image. However, only the SVM model maintained its excellent performance in the deployment of the models using the independent local cohort, with an accuracy of 93.5%, sensitivity of 86.95%, and specificity of 99.73%.

CONCLUSION

In this study, we have identified 12 GLCM and 3 GLRLM image features which can aid the GBM diagnosis. Among the five models built, the SVM model proposed in this study demonstrated excellent accuracy with very good sensitivity and specificity. It could potentially be used for GBM diagnosis and future clinical application.

Antibiotic Knowledge, Antibiotic Resistance Knowledge, and Antibiotic Use: A Cross-Sectional Study among Community Members of Bangkok in Thailand

This study aimed to explore antibiotic knowledge, antibiotic resistance knowledge, and antibiotic use among adults in Bangkok, Thailand. This is a secondary analysis of cross-sectional data generated from a sample of 161 individuals living in Bangkok. Participants completed an online self-administered questionnaire developed by the World Health Organization. Descriptive analysis, the chi-square test, and multiple logistic regression analyses were performed. The sample comprised more females (56.5%) than males (42.2%). The majority of responders (67.7%) were between the ages of 18 and 40. More than half of the respondents mistakenly believed that antibiotics could treat colds and flu (54.7% and 47.2%, respectively). About 54.7% were aware that antibiotic resistance could harm them and their families. The chi-square test results showed that the levels of education were associated with antibiotic knowledge (p = 0.012), antibiotic resistance knowledge (p < 0.001), and antibiotic use (p = 0.023). Multiple logistic regressions showed that respondents with at least a bachelor's degree or higher had better knowledge of antibiotics. Respondents who worked in the profession had better knowledge of antibiotic resistance. Respondents with sufficient incomes were more likely to use antibiotics. Baseline data from the study will be useful in antibiotic stewardship and public health campaigns among Bangkok residents.

Can High-Fidelity Patient Simulation Be Used for Skill Development in Junior Undergraduate Students: A Quasi-Experimental Study

High-fidelity patient simulation (HFPS) is widely used in professional training to enhance students' competence in clinical management. A guideline for HFPS provides a systematic approach to direct students to learning during the simulation process. Problem-solving (PS) and clinical reasoning (CR) skills are essential to developing students' professional competence in safe and effective care. These two skills should be initiated in the early training. A structured guideline was developed for HFPS. This study aimed to investigate the effects of the structured HFPS guideline on the development of PS and CR skills in junior nursing students. The students were required to go through four sessions, pre-briefing, simulation design, facilitation, and debriefing, for the HFPS; the study utilized the Problem-Solving Inventory (PSI) and the Nurses' Clinical Reasoning Scale (NCRS) to measure PS and CR abilities before and after HFPS. Bivariate analysis, a one-sample t-test, and an independent t-test were performed to evaluate the performance of the PS and CR skills during the two study periods. A total of 189 students were recruited, with 92 in the intervention group and 97 in the control group. The research assistant was responsible for student recruitment through email invitations and allocating the students into the control group or the intervention group. A Wilcoxon analysis was performed and revealed significant differences in PS and CR between the two groups (p < 0.001). The analytic results showed that the PSI, particularly in domains of Problem-Solving Confidence (PSC) (p < 0.001) and overall PS (p < 0.001), and the CR (p < 0.001) had significant improvement after HFPS, particularly in the intervention group. The study concluded that the structured HFPS guideline significantly improved the students' problem-solving and clinical reasoning abilities. Nurse educators play an important role in providing explicit learning instructions in a simulation guideline that directs and guides students to learn at each stage of HFPS. The students can be directed to be engaged in their learning through HFPS to enhance their competence in knowledge and skill development (PS and CR) for their personal and professional development.

A Modified Guideline for High-Fidelity Patient Simulation to Improve Student Satisfaction and Self-Confidence in Learning: A Mixed Study

The coronaviral pandemic has led to a shift in traditional teaching methods to more innovative approaches, such as high-fidelity patient simulation (HFPS), which can improve students' clinical judgment and decision making for quality patient care. A modified guideline was introduced to enhance students' satisfaction and self-confidence in learning through HFPS. The study involved 189 baccalaureate nursing students, with 92 in the intervention group and 97 in the control group. The intervention group received the modified HFPS guideline, while the control group received standard treatment with basic instruction. After the HFPS debriefing session, students provided narrative feedback on their learning experiences. The quantitative results showed that students in the intervention group reported a significant improvement in satisfaction and self-confidence in learning compared to the control group. The modified HFPS guideline provided clear guidance for students to learn and apply knowledge and skills more effectively, leading to increased engagement during interactive simulation sessions. The results suggest that the HFPS guideline should be added to the curriculum to enhance students' satisfaction and self-confidence in learning, even for junior students. After the pandemic, innovative teaching methods, such as HFPS, can be necessary and beneficial for healthcare professional training.

Factors predicted quality of life of people with type 2 diabetes in western Ethiopia

BACKGROUND

Multiple factors predict the quality of life of adults with diabetes. However, the relationships of demographics, self-management practice, and support status with the quality of life of people with diabetes are unknown. Therefore, the study aimed to assess factors related with the quality of life of adults with type 2 diabetes in western Ethiopia.

METHODS

A hospital-based cross-sectional study involving adults with type 2 diabetes was conducted in western Ethiopia from June 02, 2020, to August 31, 2020. Convenience sampling technique was used in selecting subjects. The translated and psychometrically tested summary of diabetes self-management activities (expanded), diabetes quality of life, and diabetes care profile support scales were used in measuring self-management practice, quality of life, and support status, respectively. Data were collected via face-to-face interviews. Factors related with quality of life were examined through bivariate analysis and multivariable linear regression. In all statistical tests, P value <0.05 and confidence level that excluded zero were considered statistically significant.

RESULTS

A total of 417 adults with type 2 diabetes participated in the study. In a multivariable linear regression, seven factors including age, male, homemakers, those separated/divorced, number of years since diabetes diagnosis, self-management practice and support needed were related with quality of life. Male patients (β = 2.786, 95% CI = 1.285 to 4.287, p < 0.001), homemakers (β = 0.366, 95% CI = 0.056; 0.677, p = 0.021), self-management practice (β = 4.528, 95% CI = 3.851 to 5.205, p < 0.001) and those who needed support from their families or peers (β = 1.623, 95% CI = 0.458; 2.788, p = 0.006) were related positively with quality of life whereas those who separated or divorced (β = -1.698, 95% CI = -3.371 to -0.025, p = 0.047), older age (β = -0.195, 95% CI = -0.269 to -0.121, p < 0.001) and those who lived with diabetes for a longer duration (β = -2.206, 95% CI = -4.151 to -0.261, p = 0.026) were related negatively with quality of life.

CONCLUSION

Quality of life of people with type 2 diabetes living in western Ethiopia was predicted positively by being male, homemakers, having self-management practice, and support needed, whereas negatively influenced by old age, separation or divorce, and long diabetes life. Thus, encouraging self-management practice, and continuous family or friend support are necessary to enhance quality of life of people with type 2 diabetes. Further study should employ random sampling techniques and involve participants from multiple study settings to increase representativeness of the samples.

Validation of two scales for measuring participation and perceived stigma in Chinese community-based rehabilitation programs

BACKGROUND

The World Health Organization has asserted the importance of enhancing participation of people with disabilities within the International Classification of Functioning, Disability and Health framework. Participation is regarded as a vital outcome in community-based rehabilitation. The actualization of the right to participate is limited by social stigma and discrimination. To date, there is no validated instrument for use in Chinese communities to measure participation restriction or self-perceived stigma. This study aimed to translate and validate the Participation Scale and the Explanatory Model Interview Catalogue (EMIC) Stigma Scale for use in Chinese communities with people with physical disabilities.

METHODS

The Chinese versions of the Participation Scale and the EMIC stigma scale were administered to 264 adults with physical disabilities. The two scales were examined separately. The reliability analysis was studied in conjunction with the construct validity. Reliability analysis was conducted to assess the internal consistency and item-total correlation. Exploratory factor analysis was conducted to investigate the latent patterns of relationships among variables. A Rasch model analysis was conducted to test the dimensionality, internal validity, item hierarchy, and scoring category structure of the two scales.

RESULTS

Both the Participation Scale and the EMIC stigma scale were confirmed to have good internal consistency and high item-total correlation. Exploratory factor analysis revealed the factor structure of the two scales, which demonstrated the fitting of a pattern of variables within the studied construct. The Participation Scale was found to be multidimensional, whereas the EMIC stigma scale was confirmed to be unidimensional. The item hierarchies of the Participation Scale and the EMIC stigma scale were discussed and were regarded as compatible with the cultural characteristics of Chinese communities.

CONCLUSION

The Chinese versions of the Participation Scale and the EMIC stigma scale were thoroughly tested in this study to demonstrate their robustness and feasibility in measuring the participation restriction and perceived stigma of people with physical disabilities in Chinese communities. This is crucial as it provides valid measurements to enable comprehensive understanding and assessment of the participation and stigma among people with physical disabilities in Chinese communities.